8bit.tr Journal
Ideas, frameworks, and playbooks for modern product teams.
Clear, practical articles about building digital products that people love. Short, useful, and built for teams that ship.
Open-Source Models in Production: System Requirements, Tokens, and Context Windows
A technical, engineering-first guide to hardware sizing for open-source LLMs, including VRAM, RAM, tokens, and context window tradeoffs.
Alignment Evaluation and Safety Metrics: Measuring What Users Actually Need
A technical guide to evaluating alignment and safety with measurable metrics, red-teaming, and policy tests.
Cost Observability for LLMs: Unit Economics at Token Level
How to track per-token costs, margin, and efficiency across LLM workloads.
Adaptive Routing and Model Tiers: Balancing Cost and Quality
A production guide to routing requests across model tiers using quality signals, cost budgets, and latency targets.
Dataset Versioning and Rollbacks: Provenance for LLM Training
How to version datasets, track lineage, and roll back safely when training data changes.
Evaluation Harness for LLM Products: From Datasets to CI Gates
How to build a reliable evaluation harness for LLM products with datasets, scoring, and automated release gates.
Prompt Compiler Patterns: Static Analysis for Prompts
How to analyze and compile prompts with static checks to reduce ambiguity and runtime errors.
Chain-of-Thought Privacy: Keeping Reasoning Secure in Production
A production guide to reasoning traces, privacy risks, and safe disclosure patterns for LLM systems.
RAG Failure Modes and Mitigation: A Practical Taxonomy
A taxonomy of RAG failures with engineering fixes for retrieval, grounding, and generation errors.
Cross-Encoder Reranking: The Missing Layer in High-Precision RAG
How cross-encoders improve retrieval relevance and reduce hallucinations in production RAG systems.
Compliance Engineering for LLMs: Audit Trails and Change Control
A practical framework for compliance engineering, audit trails, and controlled model changes.
Efficient Context Summarization: Keeping Long Sessions Accurate
Techniques for compressing long context without losing intent, facts, or action items in LLM workflows.
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